利用人工智能改变临床试验和癌症护理:机遇和挑战
Jennifer H Benbow1, Edward S Kim
1City of Hope National Medical Center, Los Angeles, CA.
Cancer journal (Sudbury, Mass.)
|November 18, 2025
概括
人工智能 (AI) 通过优化临床试验来加速瘤药物开发. 负责任的AI实施对于减轻偏见等风险和确保患者安全至关重要.
科学领域:
- 在瘤学瘤学.
- 计算生物学 计算生物学
- 临床试验 临床试验
背景情况:
- 瘤药物开发是一个漫长而昂贵的过程.
- 人工智能 (AI) 为简化这一管道提供了潜在的解决方案.
- 确保患者安全和个性化护理仍然至关重要.
研究的目的:
- 探索人工智能在加速瘤药物开发中的作用.
- 确定特定的人工智能应用及其好处.
- 在临床试验中解决与人工智能相关的挑战和伦理考虑.
主要方法:
- 机器学习 (ML) 模型用于数据分析和队列模拟.
- 自然语言处理 (NLP) 用于增强患者查.
- 用人工智能驱动的可穿戴设备和成像数据的分析,用于实时监控.
主要成果:
- 人工智能优化了资格标准,并识别了协议风险.
- NLP加速了将不同患者群体与试验相匹配.
- 穿戴设备和成像数据分析提供了早期的毒性和疗效信号.
结论:
- 人工智能可以显著缩短药物开发时间表,同时保持安全.
- 解决人工智能引起的偏见,安全和道德问题是必不可少的.
- 负责任的AI实施,与保障和监督,可以改变瘤学护理.
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